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Calculates all the array and matrix indices required.
● Data Source:
CranContrib
● Keywords:
● Alias: indexCalc
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setVar
(Package: AnDE) :
setVar
sets the required variables
● Data Source:
CranContrib
● Keywords:
● Alias: setVar
●
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aode
(Package: AnDE) :
aode
This function builds the model using the AODE algorithm which can then be used classification.
● Data Source:
CranContrib
● Keywords:
● Alias: aode
●
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This is a generic function. This function predicts the class of the test data and returns a vector of predicted values.
● Data Source:
CranContrib
● Keywords:
● Alias: predict.AODE
●
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This function takes in a data frame to be discretized. The data type of the columns are important. Only the numeric columns are discretized.
● Data Source:
CranContrib
● Keywords:
● Alias: discretizer
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Calculates the count matrices.
● Data Source:
CranContrib
● Keywords:
● Alias: training
●
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cutX
(Package: AnDE) :
cutX
This function takes in a data frame to be discretized. The data type of the columns are important. Only the numeric columns are discretized.
● Data Source:
CranContrib
● Keywords:
● Alias: cutX
●
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mdl
(Package: AnDE) :
mdl
This function takes in a data frame to be discretized. The data type of the columns are important. Only the numeric columns are discretized.
● Data Source:
CranContrib
● Keywords:
● Alias: mdl
●
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predicts class of a given instance based on the model
● Data Source:
CranContrib
● Keywords:
● Alias: distributionForInstance
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This function calculates mutual information between the attr and class.
● Data Source:
CranContrib
● Keywords:
● Alias: calWeight
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providing 
.